Model Comparison
DeepSeek-V4-Flash-0731 vs Qwen3.7 MaxWhich is better in 2026?
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0731 is 16.7x cheaper per token.
Verdict: DeepSeek-V4-Flash-0731 vs Qwen3.7 Max — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Qwen3.7 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (NL2Repo), while Qwen3.7 Max is better at 0 benchmarks. DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-0731 is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V4-Flash-0731 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 16.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.7 Max if…
- you want predictable pricing at $1.25/M input and $3.75/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (NL2Repo), while Qwen3.7 Max is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 13.9x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 20.8x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Qwen3.7 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Qwen3.7 Max was released on 2026-05-19.
DeepSeek-V4-Flash-0731 is 2 months newer than Qwen3.7 Max.
Jul 31, 2026
3 days ago
2mo newerMay 19, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. Qwen3.7 Max is available from Novita, Together.
DeepSeek-V4-Flash-0731
Qwen3.7 Max
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Qwen3.7 Max.